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Data Scientist with proficiency in Statistics, Linear & Logistic Regression, Cross Validation, Ridge & Lasso Regression, Decision Tree, Ensemble methods, Principal Components Regression, PCA, Clustering, NER, S3, Lambda, Sagemaker, Rekognition, API gateway, Textract, Tableau, R & Python.
PG Diploma in Data Science & AI | Data Science: Machine Learning, Customized Algorithms, Data Mining | Regression Analysis, Hypothesis Testing, Probability Distribution, Statistical Quality Control | Programming Languages: Python, R, Basic SQL | Top Skills: Statistics, Classification and Regression, Predictive Modelling, Data Analysis.
Reading: Master's degree | SDLC, Agile, Waterfall | Python, R, SQL, SAS | Visual Studio Code, PyCharm | ML Algorithm: Linear Regression, Logistic
Regression, Decision Trees,
Machine Learning, Unsupervised
Learning, Classification, SVM, Random Forests, Naive Bayes, KNN,
K Means, CNN | Tableau, Power BI, SQL Server, MySQL, MS Excel, Windows, Linux
Python, R, CSS, HTML, PHP, PostgreSQL, SQL, MongoDB, Power Bi, Excel, SQL, Pandas, Seaborn, Matplotlib, Plotty Cufflink, Sci-Kit Learn, SVM, Linear/Logistic/DT RF Regression & Classification, XGB, CATBoost, LightGBM, Tensorflow, Pytorch, NLP, VGG50, InceptionV3, RCNN, Heroku, AWS(BeanStalk), GCP, Arduino, ESP8266(NodeMCU), PIC, Raspberry Pie
Languages: Python, R, C++, SQL | Machine learning: LR, DT, RF, SVM, XGBOOST etc | Deep learning: ANN, CNN, RNN | Natural Language: Processing (NLP), Tableau, EXCEL, WORD
Reading for Master of Business Analytics, Skills: Programming: Python, SQL, Visual Basic, C, Arduino |Data Visualization Tools: Tableau, Power BI, QuickSight, Data Studio | Query Engines: Athena, GBQ, Hive, Oracle, Snowflake | Other Cloud Services: AWS, SageMaker, Vertex AI
Reading for Master of Science in Applied Mathematics, Skills: Builde statistical models, acquire data from primary/ secondary data sources and maintain databases, create and maintain dashboards, data storytelling, Visualize and analyze data for business reports, Generate & automatize monitoring report and alerting systems
PySpark, EMR, MLlib, Confluence, Zira, GitLab, NumPy, OpenCV, Deepface, Python3.6 (pandas etc.), Scikit-Learn, Excel, Anaconda Environment, NLTK, GitHub, Scikit-Learn, Flask, Amazon Web Services (Data Source S3 Bucket and Deployment), PowerBI
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